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Project.toml
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46 lines (43 loc) · 1.41 KB
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name = "SmartSolve"
uuid = "4fbb3a3c-2fa1-4c19-8d57-bae8bc1e16ac"
version = "0.1.0"
authors = ["JuliaLab"]
[deps]
BSON = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
Dagger = "d58978e5-989f-55fb-8d15-ea34adc7bf54"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DecisionTree = "7806a523-6efd-50cb-b5f6-3fa6f1930dbb"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
MKL = "33e6dc65-8f57-5167-99aa-e5a354878fb2"
MatrixDepot = "b51810bb-c9f3-55da-ae3c-350fc1fbce05"
OpenAI = "e9f21f70-7185-4079-aca2-91159181367c"
OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
ScikitLearn = "3646fa90-6ef7-5e7e-9f22-8aca16db6324"
SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
[sources]
Dagger = {rev = "jps/lu-ldiv3", url = "https://github.com/JuliaParallel/Dagger.jl"}
[compat]
BSON = "0.3"
BenchmarkTools = "1"
CSV = "0.10"
CUDA = "5.9.2"
CairoMakie = "0.15"
Dagger = "0.19.2"
DataFrames = "1"
DecisionTree = "0.12"
LinearAlgebra = "1.12.0"
Logging = "1.11.0"
MKL = "0.9"
MatrixDepot = "1.0.13"
OpenAI = "0.12.0"
OrderedCollections = "1"
ScikitLearn = "0.7"
Test = "1.11.0"
julia = "1.11"